We cross-reference SEC filings and congressional trade disclosures to surface patterns nobody sees when each document is reviewed in isolation. Sourced analysis within 24-48 hours of a trigger event.
Each fact is individually disclosed. The convergence is not.
Subscribe to the Weekly BriefWhat We Do
SignalAI Markets monitors every 8-K filed with the SEC, scores trigger events by severity, and cross-references them against the company's full filing history — S-1, 10-K, 10-Q, DEF 14A, Form 4, and prior 8-Ks. When patterns emerge that are invisible in any single filing, we publish a sourced analysis with every claim traced to a specific document and date. No opinion. No position. Just the pattern.
How It Works
Our trigger scanner monitors SEC EDGAR daily for high-signal events: executive departures, restatements, auditor changes, activist governance agreements, and material agreement filings.
When a trigger fires, we pull every public filing for that company and compare them. The S-1 narrative against the 10-Q reality. The Form 4 trading activity against the earnings call language. The 8-K departure language against the proxy compensation structure.
Structured, sourced analysis delivered within 24-48 hours. Every claim traced to a specific filing and date. Five filing types on one page. The pattern that emerges is the product.
Congressional Governance Tracking
Members of Congress sit on committees that regulate the industries they trade in. We track every disclosed congressional stock transaction and cross-reference it against committee assignments, sector jurisdiction, trade timing, and disclosure delays.
When a senator on the Armed Services Committee buys a defense contractor the week before a classified briefing — that's public data. When three members of the same committee trade the same sector in the same direction within days of each other — that's a cluster. When members of opposing parties on the same oversight committee trade the same stock in opposite directions — that's a divergence signal.
Every trade is scored on committee-sector overlap, trade size, disclosure delay, cluster activity, and divergence patterns. The scoring is transparent. The data is sourced from public financial disclosures. The pattern is the product.
Case Studies
Board rejected $66/share SAP offer. Activist forced Strategic Committee empowered to sell. M&A specialist seated. Stock at $36.
Read analysis →Silent accumulation to board control. Poison pill deployed and killed in five days.
Read analysis →S-1 promised global expansion. Five months later: exited 3 continents, 25% layoffs, entire external C-suite departed. 79% stock decline.
Read analysis →$550M in insider sales during $1.7B corporate buyback. CEO praised retail holders during systematic liquidation.
Read analysis →$400M in CEO personal loans created the incentive structure for $11 billion in fraud. The signal was in public filings.
Read analysis →$176B in estimated depreciation understatement. Zero actuarial history for space-based compute. The disclosure gap hiding inside a $1.5T valuation.
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